Batch get changelogs for multiple issues. Returns complete change history for each issue.
AI agents call jira_batch_get_changelogs to retrieve information from Atlassian without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves historical change records (changelogs) for Jira issues without modifying, deleting, or executing operations. While changelogs may contain sensitive information about project changes and audit trails, the blast radius is limited to information disclosure rather than data mutation or system impact.
From the tool's definition Tool name 'jira_batch_get_changelogs' and description 'Returns complete change history for each issue' indicate data retrieval without modification. The word 'get' confirms read semantics.
Documented attack patterns abuse exactly the kind of access jira_batch_get_changelogs gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Atlassian, and nothing reaches the server without passing your rules. This is the rule we recommend for jira_batch_get_changelogs:
{
"version": "1",
"default": "deny",
"tools": {
"jira_batch_get_changelogs": {}
}
} jira_batch_get_changelogs is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Batch get changelogs for multiple issues. Returns complete change history for each issue. It is categorised as a Read tool in the Atlassian MCP Server, which means it retrieves data without modifying state.
Register the Atlassian MCP server in PolicyLayer and add a rule for jira_batch_get_changelogs: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Atlassian. Nothing to install.
jira_batch_get_changelogs is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the jira_batch_get_changelogs rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for jira_batch_get_changelogs. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
jira_batch_get_changelogs is provided by the Atlassian MCP server (xuanxt/atlassian-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Atlassian, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
51 Atlassian tools catalogued and risk-classified — across an index of 43,000+ MCP servers.